Waste generation has increased in many sectors given the demand and population growth. Reverse logistics comes to contribute to the return of these wastes to the production chain. In this context, frying oil is one of the most processed waste and transformed into new products, such as: biofuel, boiler fuel, soap manufacturing, concrete formwork release agent etc. Oil is one of the wastes whose recycling only happens by law, because it has low added value, unlike plastic, aluminum and copper, whose values ​​are higher. The average oil consumption in Brazil reaches 3 billion liters per year, but only 2.5% of this total is recycled, the others are discarded in the wild. The aim of this study is to analyze Reverse Logistics at different points, seeking to describe the chain steps, from the final consumer, through the PEV and ending in the companies that will reuse the frying oil already treated. In Manaus, the logistics of frying oil is done by cooperatives and private companies, being MASSEG, the largest company in the segment. This research has an explanatory character, approaching a case study, which made it possible to observe the financial and environmental feasibility of reverse logistics for the collection of frying oil, carried out at Condomínio Shopping Manauara Center, in the city of Manaus, AM. To reverse this scenario, many companies are investing in the reverse logistics process. Procedures such as leaving drums empty so that they are filled with waste oil, separation of solid waste and water from oil, are already part of the routine of tenants that also contribute to non contamination of water bodies. The collection, transportation, filtering, decantation and commercialization of the product already treated, for fuel purposes, is performed by the company itself. Finally, the company uses part of the treated oil to manufacture biodiesel, applied to the consumption of its own fleet, with no commercialization of the generated biodiesel. Thus there is a reduction in the use and costs with usual fuels (fossils), seeking to add the culture of sustainability.

The objectives of this study were to analyze whether teachers are working with practical classes using scientific experiments in science teaching, to list the reasons why science classes in elementary school have few experiments and to propose improvements for a better effectiveness of classes, taking into account view the benefits of practical classes in teaching learning. To achieve the objectives, a quantitative methodology was used through a questionnaire for data collection at a school in the Municipality of Grajaú-MA, 148 students from the 8th and 9th grade answered the questionnaire. The results obtained are displayed in the form of graphs, in which it was possible to notice that students like classes with experiments, however the school has no structure so that students can practice this type of class more often. It is concluded that the practical classes with scientific experiments have been applied even if little and that this index of classes can increase a lot, being necessary measures for this to circumvent or alleviate the problem of not having adequate structure and equipment in the school for classes with experiments . One way to improve the current situation is the partnership between the school that was the object of study and higher institutions that can help with equipment or technical visits.

The article active methodology: From the text to the context - A possible approach - consists of a bibliographic essay that relates didactic procedures denominated of active methodologies with the epistemological principles of the main progressive pedagogical tendencies, giving them theoretical and scientific support and constituting like a methodological didactic alternative capable of satisfying the peculiarities of the current social context and pedagogical relations that values the student and places it at the center of the process of teaching and learning meaningful .. The study searches in the studies of authors that resort to the basic assumptions of the New School Movement (From the late nineteenth century and early twentieth century) and from Vygotsky's Theories (1896-1934), Dewey (1859-1952), Ausubel (1918-2008) and Paulo Freire (1921-1997) and their association of principles in active methodologies as well as technically sound didactic procedures that can be pedagogical practices.

The need for other sources of renewable energy is present, due to sustainable growth and aiming at the dull use of fossil fuels, which is a non-renewable energy responsible for the greenhouse effect and, in its end, can generate conflicts between countries, due to its dependence. . Brazil has an advantage, in front of other countries that already use this energy source frequently, because it is the country with the highest rate of solar radiation, is not enjoyed in abundance, because it is not so accessible due to poor incentives and lack of technology knowledge. As a clean and sustainable alternative photovoltaic solar energy becomes attractive. Based on these data, this work conducts an analysis of the photovoltaic solar grid system on grid (grid) system, to take as an alternative energy.

With the expansion of means of river transportation, especially in the case of small and medium-sized vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision-making becomes necessary, as is the case of the present research, which aims to contribute with a computational model of prediction and optimization of the best speed to decrease the fuel cost considering the characteristics of the SCANIA 315 machine. propulsion model, of a vessel from the river port of Manaus that carries out river transportation to several municipalities in Amazonas. According to the results of the simulations, the best training algorithm of the Artificial Neural Network (ANN) was the BFGS Quasi-Newton considering the characteristics of the engine for optimization with Genetic Algorithm (AG).

Predictive as well as preventive maintenance are tools of maintenance programs that aim to increase or maintain the life expectancy of an equipment through computational techniques and tools. Bearing in mind that the power generation industry has a high maintenance rate with machines and / or electric generators stopped, this research aims to develop a computational model for predicting the Reliability Key Performance Indicator (KPI) to identify how available the equipment will be in a time span of 22 days, for this the methodology to be used will be based on analyzes and tests of artificial neural network (ANN) architectures using the Bayesian Regularizers training algorithm, alternating the transfer functions in the layers hidden to find the best state of convergence and the minimum Root Mean Square Error (RMSE) value calculated between the real and simulated outputs. According to the results obtained by the training, validation and test steps, the algorithm presented a RMSE rate of 0.0000104202 and a 99.9% correlation between the real and simulated values, thus the model is able to identify which machine will have the greatest efficiency and less efficiency within the defined time span.

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